These are NOT product / license keys that are valid for Windows activation.
These keys only select the edition of Windows to install during setup, but they do not activate or license the installation.
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| import androidx.compose.animation.core.Animatable | |
| import androidx.compose.animation.core.EaseInOutQuad | |
| import androidx.compose.animation.core.FastOutSlowInEasing | |
| import androidx.compose.animation.core.LinearEasing | |
| import androidx.compose.animation.core.RepeatMode | |
| import androidx.compose.animation.core.Spring | |
| import androidx.compose.animation.core.animateFloat | |
| import androidx.compose.animation.core.infiniteRepeatable | |
| import androidx.compose.animation.core.rememberInfiniteTransition |
| # This script must be run as Administrator to update some shortcut paths. Checking it first... | |
| $IsAdmin = ([Security.Principal.WindowsPrincipal] [Security.Principal.WindowsIdentity]::GetCurrent()).IsInRole( | |
| [Security.Principal.WindowsBuiltInRole]::Administrator | |
| ) | |
| if (-not $IsAdmin) { | |
| Write-Host "Not running as Administrator. Some shortcuts may fail to update." -ForegroundColor Yellow | |
| Write-Host "" | |
| } | |
| # This is your Edge path, it should be installed here (if you're on Stable channel). |
| Public key | |
| MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEA6SGhr3n+JW/IHf0pR9WCdiw6f6NdOy+jyX/YGzicap2Vqz5Ha9SDFCEhA+ZEGOeXVhfHywHrHBmOlJn3+xctZqnOFX/sn37Lfp2/m1Wya7VNARgmej4rOT+j74KO3DbcCCGilzVBjVdfc8c9oijIPdu5lDiZf8XhZSGuaPTYG3K1a9EhrHQQfHinDWn8uPNeqSUBl8sFq9Ox683YOnRAsPkU9Ip16qUCi9wnw4FyLZX00HZFgTDeTSfIPLo6LDDUndGRwY3S1W+t7z1NolMzhtBlIs5LO9pAEmXQ+xorAIwwZgSiSn4zRE30Y0uxZkL9eFCzyfKrbQNn8xTXgOrEYQIDAQAB | |
| SHA-512 | |
| 5a01af61c90cd1b8e679a54396555abc8f3663c709476de5b6fbd2ac988789379459d77af14afdbcaa1650349f4475f1b92c64fe71bc3c81a43d5f72072af8c5 | |
| Signature | |
| vfIiWf2253ZH1iofzEBwR9kZZv22duFYPLav1E4qirklJjvb4Q+v5PntKi39OPpwz/oSHUmgJKHzfLCtrju6bWV0HeplG2sPp+0TAWc4XDiOykMW9304C/yDPZeje+3Oe2IDuoUNX6lLJuT3TyoRe1QatH6OkjX9iSMv5nkwAbnCFKmdaWvZvKL90M4Bg37o7yXgRLYWZRFzb0yPavDy/6VJ/IJ7VQFVZxKsLSq/l0GTqE6Y/+HY538Kw0G9SvGG7QHtVOxy1+d7hNNVzvxa6wZ44qg1TrqsAG0RlB5pKnq4hsbWlaMhks1lJ54wcvgt1YQZqu5Z3YXEdl1/FvezEQ== |
| (() => { | |
| function formatDate(date = new Date()) { | |
| return date.toISOString().split("T")[0]; | |
| } | |
| function escapeMarkdown(text) { | |
| return text | |
| .replace(/\\/g, "\\\\") | |
| .replace(/\*/g, "\\*") | |
| .replace(/_/g, "\\_") |
| use std::{ | |
| path::{Path, PathBuf}, | |
| str::FromStr, | |
| }; | |
| use coolfindpattern::pattern; | |
| use pelite::pe::Pe; | |
| use simplelog::Config; | |
| use windows_registry::{CURRENT_USER, LOCAL_MACHINE}; |
AV1 is a next-generation video codec developed by Alliance of Open Media to facilitate VOD, storage and live-streaming. It's usually paired with Opus audio codec, stored in MP4 (ISOBMFF) or streamed using HLS (HTTP Live Streaming). SVT-AV1 is currently the best production quality encoder available (the matter of discusssion here).
Quoting the SVT-AV1 documentation:
Presets control how many efficiency features are used during the encoding process, and the intensity with which those features are used. Lower presets use more features and produce a more efficient file (smaller file, for a given visual quality). However, lower presets also require more compute time during the encode process. If a file is to be widely distributed, it can be worth it to use very low presets, while high presets allow fast encoding, such as for real-time applications. >
You are a prompt-enrichment engine that sits between a user's raw creative request and MiniMax H3, a generative model that synthesizes video AND synchronized stereo audio together. Your role mirrors MiniMax's official "H3-Context-IR": deeply understand and refine the multimodal input, reason about how the pieces relate to each other and to the intended output, and serialize your understanding into a structured "production brief" that H3-Base can consume directly. You perform instruction parsing, cross-modal association, temporal understanding, and complex logical reasoning over the material you are given. Without deviating from the user's original intent, you may supplement missing or underspecified semantic details where appropriate. You convert everything into a single, maximally detailed and unambiguous brief, formatted exactly as specified below. You DO NOT generate media yourself. You ONLY OUTPUT THE BRIEF TEXT, nothing else — no preamble, no explanation, no markdown fences, no JSON wrapper.
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.